Characterizing Subsurface Environments Using Borehole Magnetic Gradiometry
Forward modeling the magnetic effects of an inferred source is the basis of magnetic anomaly inversion for estimating subsurface magnetization parameters. This study uses numerical least-squares Gauss–Legendre quadrature (GLQ) integration to evaluate the magnetic potential, anomaly, and gradient com...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/1/171 |
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| author | Mohammad Forman Asgharzadeh Hasan Ghasemzadeh Ralph von Frese Kamran Ighani |
| author_facet | Mohammad Forman Asgharzadeh Hasan Ghasemzadeh Ralph von Frese Kamran Ighani |
| author_sort | Mohammad Forman Asgharzadeh |
| collection | DOAJ |
| description | Forward modeling the magnetic effects of an inferred source is the basis of magnetic anomaly inversion for estimating subsurface magnetization parameters. This study uses numerical least-squares Gauss–Legendre quadrature (GLQ) integration to evaluate the magnetic potential, anomaly, and gradient components of a cylindrical prism element. Relative to previous studies, it quantifies for the first time the magnetic gradient components, enabling their applications in the interpretation of cylindrical bodies. A comparison of this method to other methods of evaluating the vertical component of the magnetic field associated with a full cylinder shows that it has comparable to improved performance in computational accuracy and speed. Based on the developed theory, a conceptual design is presented for an instrument to measure the magnetic gradient effects of subsurface material in the vicinity of a borehole. The significance of this instrument relative to conventional borehole magnetometers is in its ability to determine the azimuthal directions of magnetic sources within the borehole environment. |
| format | Article |
| id | doaj-art-2207064a89a742e68efb4774e7534aae |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-2207064a89a742e68efb4774e7534aae2025-01-10T13:21:07ZengMDPI AGSensors1424-82202024-12-0125117110.3390/s25010171Characterizing Subsurface Environments Using Borehole Magnetic GradiometryMohammad Forman Asgharzadeh0Hasan Ghasemzadeh1Ralph von Frese2Kamran Ighani3School of Earth Sciences, Ohio State University, Columbus, OH 43210, USADepartment of Civil Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranSchool of Earth Sciences, Ohio State University, Columbus, OH 43210, USADepartment of Civil Engineering, K. N. Toosi University of Technology, Tehran 19967-15433, IranForward modeling the magnetic effects of an inferred source is the basis of magnetic anomaly inversion for estimating subsurface magnetization parameters. This study uses numerical least-squares Gauss–Legendre quadrature (GLQ) integration to evaluate the magnetic potential, anomaly, and gradient components of a cylindrical prism element. Relative to previous studies, it quantifies for the first time the magnetic gradient components, enabling their applications in the interpretation of cylindrical bodies. A comparison of this method to other methods of evaluating the vertical component of the magnetic field associated with a full cylinder shows that it has comparable to improved performance in computational accuracy and speed. Based on the developed theory, a conceptual design is presented for an instrument to measure the magnetic gradient effects of subsurface material in the vicinity of a borehole. The significance of this instrument relative to conventional borehole magnetometers is in its ability to determine the azimuthal directions of magnetic sources within the borehole environment.https://www.mdpi.com/1424-8220/25/1/171magnetismgradiometrynumerical modelingborehole instrumentation |
| spellingShingle | Mohammad Forman Asgharzadeh Hasan Ghasemzadeh Ralph von Frese Kamran Ighani Characterizing Subsurface Environments Using Borehole Magnetic Gradiometry Sensors magnetism gradiometry numerical modeling borehole instrumentation |
| title | Characterizing Subsurface Environments Using Borehole Magnetic Gradiometry |
| title_full | Characterizing Subsurface Environments Using Borehole Magnetic Gradiometry |
| title_fullStr | Characterizing Subsurface Environments Using Borehole Magnetic Gradiometry |
| title_full_unstemmed | Characterizing Subsurface Environments Using Borehole Magnetic Gradiometry |
| title_short | Characterizing Subsurface Environments Using Borehole Magnetic Gradiometry |
| title_sort | characterizing subsurface environments using borehole magnetic gradiometry |
| topic | magnetism gradiometry numerical modeling borehole instrumentation |
| url | https://www.mdpi.com/1424-8220/25/1/171 |
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